Past Immersion
Spring 2024Â
The Spring 2024 Immersion Cohort explored the intersection of artificial intelligence, cybersecurity, and national security through hands-on learning and collaboration. Students progressed from cybersecurity foundations and technical development to refining and deploying an actionable project, engaging throughout the semester with national security leaders and cybersecurity experts. The cohort culminated in presenting their work at Vanderbilt’s Summit on Modern Conflict and Emerging Threats.
Fall 2024
The Fall 2025 51ÎÛÂþ Immersion Cohort explored AI in modern conflict and its implications for U.S. strategy in great power competition. Students examined U.S. and Chinese approaches to military doctrine, AI-enabled warfare, decision-making, escalation, and the ethical and legal implications of AI in conflict. The cohort culminated in a team-based Generative AI wargame, where students designed scenarios, conducted simulations, analyzed results, and presented their findings.
AI in Modern Conflict: Great Power Competition (Fall 2025 51ÎÛÂþ)
Students examined how the United States and China think differently about artificial intelligence in warfare, then tested those ideas themselves. After grounding in military doctrine, algorithmic and intelligentized warfare, and the ethics and law of autonomous systems, teams designed their own conflict scenarios and ran them as experimental wargames using generative AI to play expert personas. The semester ended with each team presenting what their simulation revealed about escalation, speed, and the limits of machine judgment. No military or technical background was required. Guest speakers included senior retired general officers, a national security law scholar, and AI researchers, giving students direct access to people who have made these decisions and who study their consequences
Open-Source Intelligence: Tracking Sanctions Evasion (Spring 2026)
Students learned intelligence analysis using only publicly available information, working a real case from start to finish. The investigation centered on the North Korean tankers and the network behind them, moving from maritime tracking to corporate registries to payment records, and then assembling those separate streams into a single evidence-based judgment. Teams later took the methods in their own direction, with some continuing on the North Korean shadow fleet and others building a case on Venezuelan sanctions evasion from a far thinner record. Students used AI throughout while learning to catch its fabrications, and used it to wargame policy options. The semester closed with each team briefing a simulated National Security Council Deputies Committee and defending its findings under questioning.
Current Immersion
Iran: Regime Change and the Limits of American Power (Fall 2026) or Iran and the Problem of Change
Students confronted one of the hardest questions in current U.S. policy: whether regime change in Iran is possible, how it might happen, what it would achieve, and at what human and economic cost. Each student first developed expertise in one lever of American power and pressure-tested it through AI-assisted wargaming. Teams were then reorganized into interagency groups, each assigned a different objective along the spectrum from behavioral change to overthrow, with a dedicated red team playing the regime and attacking their assumptions. Two constraints held all semester: no ground troops, and three years to succeed. Teams present and defend their strategies before a three-person Deputies Committee of national security practitioners.
Current Immersion
- Maj. Gen. (Ret.) Bradley T. Gericke, PhDÂ
- Gary Corn, American University Washington College of LawÂ
- Lizza Dwoskin, The Washington Post  (Did she speak)
- Christopher Ahlberg, founder/CEO, Recorded FutureÂ
- Anne MilgramÂ
- Jon Darby, former NSA (did he speak?)
- Vinh Nguyá»…n, former NSA
- Julian Barnes, The New York Times
- Peter Singer, New America
- Richard Falkenrath, SAIS
- Amy Zegert, Stanford
- Andrew Hellman, former CIA
- Barbara Hunt
- Gus Hunt